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Published on: November 24, 2021
Intuitive robust stability metric for PID control of self-regulating processes
Jeffrey E Arbogast1, Brett M Beauregard, Douglas J Cooper
1University of Connecticut, Chemical Engineering Program, CMBE Department, U-3222, 191 Auditorium Rd., Storrs, CT 06269-3222, United States.
This study introduces the robust stability factor (RSF) to assess how plant-model mismatch in gain, dead time, and time constant affects closed-loop stability. The RSF metric provides a new way to understand and visualize stability robustness in control systems.
Area of Science:
- Control Systems Engineering
- Process Dynamics and Control
- Robust Control Theory
Background:
- Existing methods for analyzing closed-loop stability primarily focus on plant-model mismatch in process gain and dead time.
- These methods often overlook the significant impact of plant-model mismatch in the process time constant on system stability.
Purpose of the Study:
- To introduce a novel metric, the robust stability factor (RSF), for quantifying the effects of plant-model mismatch across gain, dead time, and time constant.
- To provide both an equation and a visual representation of the RSF using robustness plots derived from Bode and Nyquist criteria.
- To enhance the understanding of robust stability by illustrating its relationship with closed-loop performance under varying degrees of plant-model mismatch.
Main Methods:
- Development of the robust stability factor (RSF) metric.
- Application of Bode and Nyquist stability criteria to generate robustness plots.
- Theoretical analysis of the impact of dead time to time constant ratios on stability.
- Comparison of the robust stability of Internal Model Control (IMC)-PI tuning with other common tuning correlations (PI, PID, PID with Filter).
Main Results:
- The RSF metric effectively quantifies the influence of plant-model mismatch in gain, dead time, and time constant on closed-loop stability.
- Plant-model mismatch in the time constant can be as critical to stability as mismatch in gain or dead time.
- The impact of time constant mismatch is amplified for systems with small dead time to time constant ratios.
- Decreasing the closed-loop time constant in Internal Model Control (IMC) tuning broadens the range of dead time to time constant ratios for which time constant mismatch significantly affects stability.
Conclusions:
- The robust stability factor (RSF) offers a comprehensive approach to evaluating closed-loop stability robustness against plant-model mismatch.
- The findings highlight the critical, often underestimated, role of time constant mismatch in process control.
- The RSF provides valuable insights for controller tuning, particularly when comparing IMC-PI with other PID-based tuning strategies to ensure robust performance.
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